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Distribution Network Planning Based On Hybrid Algorithm

机译:基于混合算法的配电网规划

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The distribution network planning is formulated as a multi-objective mathematical optimization problems,this paper uses investment cost,loss of network,reliability and the environmental effect and so on as multi-objective functions to establishment mathematics model.The traditional of Particle Swarm Optimization for multi-objective optimization can not solve this problem.Through the fuzzy optimized algorithm and the rough set method to determine the link between the objective functions in the paper,so as to obtain the relative important weighting factors attribute to various objectives. And then the pursuit of multi-objective optimization transforms to seek the optimal level of satisfaction of the overall goals.It avoids the difficulties about the different dimensions of the goal transform into the same goal.The improvement of PSO algorithm and the Powell optimization algorithm are used to optimize distribution network planning, then that overcomes insufficient for precocious restraining using alone PSO, increases the development ability of algorithm, and sharpens the partial optimization ability. The example shows that the method is feasible and effective.
机译:配电网规划是一个多目标数学优化问题,本文以投资成本,网络损耗,可靠性和环境效应等为多目标函数,建立数学模型。多目标优化解决不了这个问题。通过模糊优化算法和粗糙集方法确定了目标函数之间的联系,从而获得了各个目标的相对重要的权重因子。然后通过追求多目标优化变换来寻求总体目标的最优满足水平,从而避免了将目标变换的不同维度转化为同一目标的困难.PSO算法和Powell优化算法的改进是用于优化配电网规划,然后克服了单独使用PSO不足以进行早熟约束的问题,增加了算法的开发能力,并提高了部分优化能力。算例表明,该方法是可行和有效的。

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